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A continuous wavelet and fast fourier transform-based single-phase adaptive auto-reclosing scheme for ehv transmission lines

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Abstract

This paper presents a hybrid fault type identification technique based on continuous wavelet transform (CWT) and fast fourier transform (FFT) algorithm for an adaptive single-phase auto-reclosing scheme. Fast fault type identification i.e., identification between temporary and permanent fault is essential in protection algorithms. Integration of HVDC transmission links have made the protection system more complex. The HVDC converters cannot withstand high fault current for long time and disconnect for self-protection; consequently, the entire HVDC grid/link can be lost resulting a large blackout. Therefore, false detection of fault type on the AC side may challenge the reliability of the entire AC/DC power system. Hence, an adaptive auto-reclosing scheme based on CWT with the FFT algorithm (CWTFT) is presented in this paper. The proposed algorithm recognizes the fault type and arc extermination moment in least dead time. The temporary and permanent faults are identified based on the energies of CWTFT coefficients; the energies higher than the threshold level indicate that the fault is temporary. Subsequently, in case of a temporary fault, the arc extermination instant is estimated by the total harmonic distortion values; the values lower than the threshold level indicate that the arc is completely exterminated and it’s safe to initiate reclosing. The performance of the algorithm is verified on Cassie and Kizilcay arc models with both transmission line types i.e., (compensated and uncompensated) under a diversity of fault conditions. The proposed technique is tested on a model developed in MATLAB using practical parameters. The results indorse the effectiveness of the proposed scheme in single-phase auto-reclosing applications by achieving minimum dead time.

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References

  1. Bresesti P, Kling WL, Hendriks RL, Vailati R (2007) HVDC connection of offshore wind farms to the transmission system. IEEE Trans Energy Convers 22(1):37–43

    Article  Google Scholar 

  2. Flourentzou N, Agelidis VG, Demetriades GD (2009) VSC-based HVDC power transmission systems: an overview. IEEE Trans Power Electron 24(3):592–602

    Article  Google Scholar 

  3. Yang J, Fletcher JE, O’Reilly J (2010) Multiterminal DC wind farm collection grid internal fault analysis and protection design. IEEE Trans Power Deliv 1:411–416

    Google Scholar 

  4. Dudurych IM, Gallagher TJ, Rosolowski E (2004) Arc effect on single-phase reclosing time of a UHV power transmission line. IEEE Trans Power Deliv 19(2):854–860

    Article  Google Scholar 

  5. D Naidoo, NM Ijumba (2004) HVDC line protection for the proposed future HVDC systems. In: 2004 international conference on power system technology powercon 2004

  6. Vogelsang J, Romeis C, Jaeger J (2016) Real-time adaption of dead time for single-phase autoreclosing. IEEE Trans Power Deliv 31(4):1882–1890

    Article  Google Scholar 

  7. Khodadadi M, Noori MR, Shahrtash SM (2013) A noncommunication adaptive single-pole autoreclosure scheme based on the acusum algorithm. IEEE Trans Power Deliv 28(4):2526–2533

    Article  Google Scholar 

  8. Jamali S, Parham A (2010) New approach to adaptive single pole auto-reclosing of power transmission lines. IET Gener Trans Distrib 4(1):115

    Article  Google Scholar 

  9. Aggarwal RK, Song YH, Johns AT (1993) Adaptive single-pole autoreclosure scheme based on defining and identifying fault induced voltage waveform patterns. Proc Joint Int Power Conf Athens Power Tech. 1:411–416

    Article  Google Scholar 

  10. Lin D, Wang H, Lin D, He B (2015) An adaptive reclosure scheme for parallel transmission lines with shunt reactors. IEEE Trans Power Deliv 30(6):2581–2589

    Article  Google Scholar 

  11. Zahlay FD, Rama Rao KS (2012) Neuro-prony and Taguchi’s methodology-based adaptive autoreclosure scheme for electric transmission systems. IEEE Trans Power Deliv 27(2):575–582

    Article  Google Scholar 

  12. Nikoofekr I, Sadeh J (2018) Nature of fault determination on transmission lines for single phase autoreclosing applications. IET Gener Tran Distrib 12(4):903–911

    Article  Google Scholar 

  13. Radojevic ZM, Shin JR (2007) New digital algorithm for adaptive reclosing based on the calculation of the faulted phase voltage total harmonic distortion factor. IEEE Trans Power Deliv 22(1):37–41

    Article  Google Scholar 

  14. Jamali S, Ghaderi Baayeh A (2017) Detection of secondary arc extinction for adaptive single phase auto-reclosing based on local voltage behavior. IET Gener Trans Distrib 11(4):952–958

    Article  Google Scholar 

  15. Yousaf M, Muttaqi KM, Sutanto D (2022) Improvement of transient stability of the power networks by an intelligent autoreclosing scheme in the presence of synchronous-based DGs. IEEE Trans Ind Appl 58(2):1783–1796

    Article  Google Scholar 

  16. Stumpe M, Ruffing P, Wagner P, Schnettler A (2018) Adaptive single-pole autoreclosing concept with advanced DC fault current control for full-bridge MMC VSC systems. IEEE Trans Power Deliv 33(1):321–329

    Article  Google Scholar 

  17. Zhou W, Li F, Xie C, Wang B, Gong L, Yang S (2020) Adaptive autoreclosing scheme for line-to-line nongrounded faults on double-circuit transmission lines based on phase-to-phase reactive power. IEEE Access 8:144092–144104

    Article  Google Scholar 

  18. Zadeh MRD, Rubeena R (2013) Communication-aided high-speed adaptive single-phase reclosing. IEEE Trans Power Deliv 28(1):499–506

    Article  Google Scholar 

  19. Khorashadi-Zadeh H, Li Z (2011) Design of a novel phasor measurement unit-based transmission line auto reclosing scheme. IET Gener Transm Distrib 5(8):806

    Article  Google Scholar 

  20. Gajare S, Pradhan AK (2017) Synchrophasor-based intelligent autoreclosing scheme for series compensated transmission lines. IEEE Trans Power Deliv 32(5):2255–2262

    Article  Google Scholar 

  21. Khorashadi Zadeh H, Li Z (2011) Phasor measurement unit based transmission line protection scheme design. Electr Power Syst Res 81(2):421–429

    Article  Google Scholar 

  22. Elkalashy NI, Darwish HA, Taalab AMI, Izzularab MA (2007) An adaptive single pole autoreclosure based on zero sequence power. Electr Power Syst Res 77(5–6):438–446

    Article  Google Scholar 

  23. De Kerf K et al (2011) Wavelet-based protection strategy for DC faults in multi-terminal VSC HVDC systems. IET Gener Transm Distrib 5(4):496–503

    Article  Google Scholar 

  24. Robertson DC, Camps OI, Mayer JS, Gish WB (1996) Wavelets and electromagnetic power system transients. IEEE Trans Power Deliv 11:1050–1058

    Article  Google Scholar 

  25. Santoso S, Powers EJ, Grady WM, Hofmann P (1996) Power quality assessment via wavelet transform analysis. IEEE Trans Power Deliv 11:924–930

    Article  Google Scholar 

  26. Gaing ZL (2004) Wavelet-based neural network for power disturbance recognition and classification. IEEE Trans Power Deliv 3:1621–1628

    Google Scholar 

  27. Khan WA, Bi T, Jia K (2019) A review of single phase adaptive auto-reclosing schemes for EHV transmission lines. Prot Control Mod Power Syst 4(1):18

    Article  Google Scholar 

  28. Luo X, Huang C, Jiang Y (2016) Improved digital algorithm for adaptive reclosing for transmission lines with shunt reactors. IET Gener Transm Distrib 10(9):2066–2070

    Article  Google Scholar 

  29. Cassie AM (1939) Theorie nouvelle des arcs de rupture et de la rigidité des circuits. CIGRE 102:588–608

    Google Scholar 

  30. Johns AT (1994) Improved techniques for modelling fault arcs an faulted EHV transmission systems. IEE Proc Gener Transm Distrib 141(2):148

    Article  Google Scholar 

  31. Butler-Purry KL, Bagriyanik M (2003) Characterization of transients in transformers using discrete wavelet transforms. Power Syst IEEE Trans 18(2):648–656

    Article  Google Scholar 

  32. Dias O, Tavares MC (2017) Comparison between traditional single-phase auto reclosing and adaptive technique based on harmonic content measurement. IET Gener Transm Distrib 11(4):905–914

    Article  Google Scholar 

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Correspondence to Atiq ur Rehman.

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Khan, W.A., Rehman, B., Rehman, A.u. et al. A continuous wavelet and fast fourier transform-based single-phase adaptive auto-reclosing scheme for ehv transmission lines. Electr Eng 105, 1347–1361 (2023). https://doi.org/10.1007/s00202-023-01737-2

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